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Modeling macropore flow effects on pesticide leaching: inverse parameter estimation using microlysimeters.

Stéphanie Roulier1, Nicholas Jarvis

  • 1Department of Soil Sciences, SLU, Box 7014, 750 07 Uppsala, Sweden. stephanie.roulier@mv.slu.se

Journal of Environmental Quality
|December 17, 2003
PubMed
Summary

Inverse modeling estimated key parameters for macropore flow and pesticide transport in the MACRO model. Results showed landscape position significantly impacts pesticide leaching due to variations in soil properties and macropore flow.

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Area of Science:

  • Environmental Science
  • Soil Science
  • Hydrology

Background:

  • Macropore flow significantly influences pesticide fate and transport in soils.
  • Accurate modeling of macropore flow requires parameters that are difficult to measure directly.
  • The dual-permeability MACRO model is widely used but needs reliable parameterization for macropore processes.

Purpose of the Study:

  • To investigate the utility of inverse techniques for estimating parameters controlling macropore flow and pesticide fate.
  • To calibrate the MACRO model using the Sequential Uncertainty Fitting (SUFI) inverse modeling program.
  • To assess the impact of landscape position and soil properties on pesticide leaching dynamics.

Main Methods:

  • Undisturbed soil columns from three distinct landscape positions (hilltop, slope, hollow) were used.

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  • Transient leaching experiments were conducted using an anionic tracer and the herbicide MCPA.
  • The MACRO model was coupled with the SUFI inverse modeling program to calibrate nine key parameters.

    • Main Results:

    • Strong evidence of macropore flow and rapid MCPA leaching was observed in hilltop soils, contrasting with minimal leaching in organic-rich hollow soils.
    • The MACRO-SUFI model generally provided good predictions of water movement, tracer, and pesticide transport.
    • Parameter estimates varied significantly across landscape positions and correlated with soil properties, despite remaining uncertainties.

    Conclusions:

    • Inverse modeling with MACRO-SUFI is a viable approach for estimating parameters related to macropore flow and pesticide fate.
    • Landscape position and associated soil properties are critical factors governing pesticide leaching.
    • Further refinement of experimental design and parameter space sampling could reduce uncertainties in model predictions.